Apache Spark MLlib training is available as "onsite live training" or "remote live training". Onsite live Apache Spark MLlib trainings in Denmark can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.

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Testimonials

★★★★★

★★★★★

This is one of the best hands-on with exercises programming courses I have ever taken.

Richard is very calm and methodical, with an analytic insight - exactly the qualities needed to present this sort of course.

Kieran Mac Kenna

Course: Spark for Developers

We know a lot more about the whole environment.

John Kidd

Course: Spark for Developers

The trainer made the class interesting and entertaining which helps quite a bit with all day training.

Ryan Speelman

Course: Spark for Developers

I think the trainer had an excellent style of combining humor and real life stories to make the subjects at hand very approachable. I would highly recommend this professor in the future.

Course: Spark for Developers

Ernesto did a great job explaining the high level concepts of using Spark and its various modules.

Michael Nemerouf

Course: Spark for Developers

Richard was very willing to digress when we wanted to ask semi-related questions about things not on the syllabus. Explanations were clear and he was up front about caveats in any advice he gave us.

ARM Limited

Course: Spark for Developers

The VM I liked very much
The Teacher was very knowledgeable regarding the topic as well as other topics, he was very nice and friendly
I liked the facility in Dubai.

Safar Alqahtani - Elm Information Security

Course: Big Data Analytics in Health

Small group (4 trainees) and we could progress together. Also the trainer could so help everybody.

ICE International Copyright Enterprise Germany GmbH

Course: Spark for Developers

Ajay was very friendly, helpful and also knowledgable about the topic he was discussing.

Biniam Guulay - ICE International Copyright Enterprise Germany GmbH

Course: Spark for Developers

The lab exercises. Applying the theory from the first day in subsequent days.

Dell

Course: A Practical Introduction to Stream Processing

The trainer was passionate and well-known what he said I appreciate his help and answers all our questions and suggested cases.

Course: A Practical Introduction to Stream Processing

Doing similar exercises different ways really help understanding what each component (Hadoop/Spark, standalone/cluster) can do on its own and together. It gave me ideas on how I should test my application on my local machine when I develop vs when it is deployed on a cluster.

Thomas Carcaud - IT Frankfurt GmbH

Course: Spark for Developers

Applicable scenarios and cases

zhaopeng liu - Fmr

Course: Spark for Developers

Machine Translated

case analysis

国栋 张

Course: Spark for Developers

Machine Translated

all parts of this session

Eric Han - Fmr

Course: Spark for Developers

Machine Translated

This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.

MLlib is Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs.

It divides into two packages:

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spark.mllib contains the original API built on top of RDDs.

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spark.ml provides higher-level API built on top of DataFrames for constructing ML pipelines.

Audience

This course is directed at engineers and developers seeking to utilize a built in Machine Library for Apache Spark